| 000 | 01013nam a2200217Ia 4500 | ||
|---|---|---|---|
| 005 | 20250204111854.0 | ||
| 008 | 240825s9999 xx 000 0 und d | ||
| 020 |
_a9789355421906 _qpbk |
||
| 041 | _aeng | ||
| 082 |
_a005.133P _bMCK |
||
| 100 | _aMckinney, Wes | ||
| 245 | 0 |
_a Python for data analysis _c/ Wes Mckinney _bdata wrangling with Pandas, NumPy, and Jupyter |
|
| 250 | _a3rd ed. | ||
| 260 |
_cc2022 _aSebastopol, CA _bO'Reilly Media |
||
| 300 |
_axvi, 561 p. _bill. _c23 cm. |
||
| 500 | _aReprint, 2024 | ||
| 504 | _aindex | ||
| 520 | _aGet the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process. | ||
| 650 | _a Data mining; Python Language de programming | ||
| 942 | _cENGLISH | ||
| 999 |
_c541775 _d541775 |
||